{"title":"配电网规划中一种改进的自适应和谐搜索算法","authors":"Xu Yang, B. Zeng, Jianhua Zhang","doi":"10.1109/PESMG.2013.6672266","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved self-adaptive harmony search algorithm (ISHSA) for distribution system planning (DSP). Harmony search algorithm (HSA) is an intelligent swarm algorithm based on a mimic of musical improvisation process inspired by the musicians try to find a better harmony through repeatedly exercise, which has been applied in various electrical engineering problems. However, it suffers from searching efficacy tardiness when applied in large-scale nonlinear mixed integer programming (NMIP) problem, such as DSP. In this work, a novel encoding methodology is proposed to increase search efficiency as well as handle non-radial structure problem particularly in DSP. In addition, a self-adaptive expedition strategy is also developed so as to make the algorithm less sensitive to initial parameters setting. A 10kV electrical distribution system feeding an urban area with 25-node is presented for a real case application. The results demonstrate the superiority of the proposed ISHSA in search efficiency on comparison with the standard HAS, as well as simulated annealing algorithm.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An improved self-adaptive harmony search algorithm for distribution system planning\",\"authors\":\"Xu Yang, B. Zeng, Jianhua Zhang\",\"doi\":\"10.1109/PESMG.2013.6672266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved self-adaptive harmony search algorithm (ISHSA) for distribution system planning (DSP). Harmony search algorithm (HSA) is an intelligent swarm algorithm based on a mimic of musical improvisation process inspired by the musicians try to find a better harmony through repeatedly exercise, which has been applied in various electrical engineering problems. However, it suffers from searching efficacy tardiness when applied in large-scale nonlinear mixed integer programming (NMIP) problem, such as DSP. In this work, a novel encoding methodology is proposed to increase search efficiency as well as handle non-radial structure problem particularly in DSP. In addition, a self-adaptive expedition strategy is also developed so as to make the algorithm less sensitive to initial parameters setting. A 10kV electrical distribution system feeding an urban area with 25-node is presented for a real case application. The results demonstrate the superiority of the proposed ISHSA in search efficiency on comparison with the standard HAS, as well as simulated annealing algorithm.\",\"PeriodicalId\":433870,\"journal\":{\"name\":\"2013 IEEE Power & Energy Society General Meeting\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Power & Energy Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESMG.2013.6672266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESMG.2013.6672266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved self-adaptive harmony search algorithm for distribution system planning
This paper proposes an improved self-adaptive harmony search algorithm (ISHSA) for distribution system planning (DSP). Harmony search algorithm (HSA) is an intelligent swarm algorithm based on a mimic of musical improvisation process inspired by the musicians try to find a better harmony through repeatedly exercise, which has been applied in various electrical engineering problems. However, it suffers from searching efficacy tardiness when applied in large-scale nonlinear mixed integer programming (NMIP) problem, such as DSP. In this work, a novel encoding methodology is proposed to increase search efficiency as well as handle non-radial structure problem particularly in DSP. In addition, a self-adaptive expedition strategy is also developed so as to make the algorithm less sensitive to initial parameters setting. A 10kV electrical distribution system feeding an urban area with 25-node is presented for a real case application. The results demonstrate the superiority of the proposed ISHSA in search efficiency on comparison with the standard HAS, as well as simulated annealing algorithm.